creg {longit} | R Documentation |
Multivariate Regression with unstructured covariance matrix in longitudinal datasetup with high dimensional.
creg(m, n, chains, n.adapt, data)
m |
Starting number of column from where repeated observations begin |
n |
Ending number of columns till where the repeated observations ends |
chains |
Number of MCMC chains to be performed |
n.adapt |
Number of iterations to be performed |
data |
High dimensional longitudinal data |
Results of posterior means and standard deviation.
Atanu Bhattacharjee, Akash Pawar and Bhrigu Kumar Rajbongshi
Bhattacharjee, A. (2020). Bayesian Approaches in Oncology Using R and OpenBUGS. CRC Press.
Gelman, A., Carlin, J. B., Stern, H. S., Dunson, D. B., Vehtari, A., & Rubin, D. B. (2013). Bayesian data analysis. CRC press.
Fitzmaurice, G. M., Laird, N. M., & Ware, J. H. (2012). Applied longitudinal analysis (Vol. 998). John Wiley & Sons.
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data(repdata)
creg(m=4,n=7,chains=4,n.adapt=100,data=repdata)
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